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TJS
2010
182views more  TJS 2010»
15 years 5 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
ICC
2007
IEEE
16 years 1 months ago
Adaptive Beam Clustering Optical Wireless System for An Indoor Channel
: The separating distance between the transceivers is one of the main factors that affect the quality of the received optical signal as the receiver changes locations in an optical...
Jamal M. Alattar, Jaafar M. H. Elmirghani
ICDCS
2007
IEEE
16 years 1 months ago
An Asymmetric Quorum-based Power Saving Protocol for Clustered Ad Hoc Networks
Clustering in Mobile Ad Hoc Networks (MANETs) has shown to be a promising technique to ensure the scalability and efficiency of various communication protocols. Since stations in...
Shan-Hung Wu, Chung-Min Chen, Ming-Syan Chen
PPOPP
2005
ACM
16 years 13 days ago
Using multiple energy gears in MPI programs on a power-scalable cluster
Recently, system architects have built low-power, high-performance clusters, such as Green Destiny. The idea behind these clusters is to improve the energy efficiency of nodes. H...
Vincent W. Freeh, David K. Lowenthal
GIS
2009
ACM
15 years 11 months ago
Conceptualization of place via spatial clustering and co-occurrence analysis
More and more users are contributing and sharing more and more contents on the Web via the use of content hosting sites and social media services. These user–generated contents ...
Dong-Po Deng, Tyng-Ruey Chuang, Rob Lemmens